Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 221) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*26:01-B*38:02-C*07:02-DRB1*14:07-DQB1*05:02  USA Asian pop 2 0.01101,772
 102  A*26:01-B*55:02-C*01:02-DRB1*14:07-DQB1*05:02  USA Asian pop 2 0.01101,772
 103  A*02:17-B*55:01-DRB1*14:07  Israel Ashkenazi Jews pop 3 0.01084,625
 104  A*68:02-B*55:01-DRB1*14:07  Israel Ashkenazi Jews pop 3 0.01084,625
 105  A*02:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India Tamil Nadu 0.01002,492
 106  A*24:02-B*51:01-C*01:02-DRB1*14:07-DQB1*05:03  India Tamil Nadu 0.01002,492
 107  A*02:01-B*56:01-C*01:02-DRB1*14:07-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 108  A*03:01-B*07:02-C*07:02-DRB1*14:07-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 109  A*23:01-B*55:01-C*01:02-DRB1*14:07-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 110  A*24:02-B*18:01-C*12:03-DRB1*14:07-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 111  A*02:06:01-B*13:01:01-C*03:04:01-DRB1*14:07:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 112  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*14:07:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 113  A*68:01-B*55:01-DRB1*14:07  Israel USSR Jews 0.008845,681
 114  A*02:11-B*51:01-C*07:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.008711,446
 115  A*11:01-B*15:01-C*12:03-DRB1*14:07-DQB1*05:03  India South UCBB 0.008711,446
 116  A*24:02-B*55:01-C*01:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.008711,446
 117  A*02:01-B*52:01-C*15:02-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 118  A*02:06-B*35:01-C*04:01-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 119  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*14:07:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 120  A*03:01-B*35:01-C*04:01-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 121  A*24:02-B*18:01-C*12:03-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 122  A*24:03-B*51:01-C*07:04-DRB1*14:07-DQB1*03:02  India West UCBB 0.00865,829
 123  A*26:01-B*15:05-C*03:03-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 124  A*26:01-B*51:01-C*01:02-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 125  A*26:01-B*55:01-C*03:03-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 126  A*31:01-B*55:01-C*03:03-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 127  A*33:03-B*15:17-C*07:01-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 128  A*68:01-B*40:01-C*03:04-DRB1*14:07-DQB1*05:03  India West UCBB 0.00865,829
 129  A*01:01-B*51:01-C*15:02-DRB1*14:07-DQB1*02:01  India North UCBB 0.00855,849
 130  A*02:01-B*37:01-C*06:02-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 131  A*02:05-B*50:01-C*06:02-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 132  A*03:01-B*15:18-C*07:04-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 133  A*11:01-B*51:01-C*14:02-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 134  A*31:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 135  A*68:01-B*40:01-C*03:04-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 136  A*68:01-B*44:02-C*05:01-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 137  A*68:01-B*51:06-C*14:02-DRB1*14:07-DQB1*05:03  India North UCBB 0.00855,849
 138  A*68:01-B*55:01-DRB1*14:07  Israel USA Jews 0.00836,058
 139  A*11:01-B*40:01-DRB1*14:07  Hong Kong Chinese cord blood registry 0.00723,892
 140  A*24:02:01-B*48:01:01-C*08:22-DRB1*14:07:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 141  A*25:01-B*55:01-C*03:03-DRB1*14:07  Poland DKMS 0.007220,653
 142  A*24:02:01-B*48:01:01-C*03:03:01-DRB1*14:07:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 143  A*11:02:01-B*15:02:01-C*12:02:02-DRB1*14:07:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 144  A*02:01-B*40:01-C*07:02-DRB1*14:07  Hong Kong Chinese BMDR 0.00657,595
 145  A*26:01-B*38:01-DRB1*14:07  Israel Iran Jews 0.00618,153
 146  A*31:01-B*55:01-DRB1*14:07  Israel Tunisia Jews 0.00559,070
 147  A*24:02-B*40:06-C*08:01-DRB1*14:07  Hong Kong Chinese BMDR 0.00517,595
 148  A*02:01-B*15:01-C*01:02-DRB1*14:07  Japan pop 16 0.005018,604
 149  A*02:06-B*40:06-C*08:01-DRB1*14:07  Japan pop 16 0.005018,604
 150  A*02:06-B*55:02-C*08:01-DRB1*14:07  Japan pop 16 0.005018,604
 151  A*02:07-B*46:01-C*01:02-DRB1*14:07  Japan pop 16 0.005018,604
 152  A*03:01-B*44:02-C*05:01-DRB1*14:07  Japan pop 16 0.005018,604
 153  A*24:02-B*13:01-C*03:04-DRB1*14:07  Japan pop 16 0.005018,604
 154  A*24:02-B*15:01-C*04:01-DRB1*14:07  Japan pop 16 0.005018,604
 155  A*24:02-B*40:01-C*15:02-DRB1*14:07  Japan pop 16 0.005018,604
 156  A*24:02-B*48:01-C*08:01-DRB1*14:07  Japan pop 16 0.005018,604
 157  A*24:02-B*48:01-C*08:03-DRB1*14:07  Japan pop 16 0.005018,604
 158  A*26:01-B*40:02-C*03:03-DRB1*14:07  Japan pop 16 0.005018,604
 159  A*26:02-B*40:02-C*03:03-DRB1*14:07  Japan pop 16 0.005018,604
 160  A*33:03-B*44:03-C*14:03-DRB1*14:07  Japan pop 16 0.005018,604
 161  A*03:01-B*35:03-C*12:03-DRB1*14:07  Poland DKMS 0.004820,653
 162  A*24:02-B*40:01-C*03:04-DRB1*14:07  Poland DKMS 0.004820,653
 163  A*11:01-B*13:01-C*04:03-DRB1*14:07-DQB1*05:03  India South UCBB 0.004611,446
 164  A*01:01-B*08:01-C*07:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 165  A*01:01-B*37:01-C*06:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 166  A*01:01-B*44:03-C*07:06-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 167  A*01:01-B*58:01-C*03:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 168  A*02:01-B*08:01-C*07:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 169  A*02:11-B*15:25-C*07:26-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 170  A*11:01-B*35:03-C*12:03-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 171  A*11:01-B*39:01-C*12:03-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 172  A*24:02-B*51:01-C*16:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 173  A*24:02-B*52:01-C*12:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 174  A*68:01-B*07:02-C*07:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004411,446
 175  A*02:03-B*51:01-C*14:02-DRB1*14:07  Hong Kong Chinese BMDR 0.00437,595
 176  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*14:07:01-DQB1*05:03:01  Poland BMR 0.004223,595
 177  A*11:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.004111,446
 178  A*03:01-B*07:02-DRB1*14:07  Israel Morocco Jews 0.004136,718
 179  A*03:01-B*57:01-DRB1*14:07  Israel Arab pop 2 0.004112,301
 180  A*03:02-B*55:01-DRB1*14:07  Israel Arab pop 2 0.004112,301
 181  A*11:01-B*55:01-DRB1*14:07  Israel Arab pop 2 0.004112,301
 182  A*24:03-B*51:01-DRB1*14:07  Israel Arab pop 2 0.004112,301
 183  A*24:04-B*18:01-DRB1*14:07  Israel Arab pop 2 0.004112,301
 184  A*26:01-B*44:05-DRB1*14:07  Israel Arab pop 2 0.004112,301
 185  A*74:03-B*35:08-DRB1*14:07  Israel Arab pop 2 0.004112,301
 186  A*02:01-B*54:01-C*01:02-DRB1*14:07  Hong Kong Chinese BMDR 0.00397,595
 187  A*11:01-B*15:02-C*08:01-DRB1*14:07  Hong Kong Chinese BMDR 0.00397,595
 188  A*03:02-B*35:08-DRB1*14:07  Israel Iraq Jews 0.003813,270
 189  A*01:01-B*55:01-DRB1*14:07  Israel Poland Jews 0.003613,871
 190  A*03:02-B*08:01-DRB1*14:07  Israel Poland Jews 0.003613,871
 191  A*29:01-B*07:05-DRB1*14:07  Israel Poland Jews 0.003613,871
 192  A*68:02-B*55:01-DRB1*14:07  Israel Poland Jews 0.003613,871
 193  A*11:01-B*38:02-C*07:02-DRB1*14:07  Hong Kong Chinese BMDR 0.00357,595
 194  A*11:01-B*40:01-C*07:02-DRB1*14:07  Hong Kong Chinese BMDR 0.00347,595
 195  A*01:01-B*57:01-C*06:02-DRB1*14:07  Poland DKMS 0.002420,653
 196  A*02:06-B*51:01-C*03:04-DRB1*14:07  Poland DKMS 0.002420,653
 197  A*11:01-B*55:01-C*03:03-DRB1*14:07  Poland DKMS 0.002420,653
 198  A*33:01-B*14:01-C*08:02-DRB1*14:07  Poland DKMS 0.002420,653
 199  A*33:01-B*14:02-C*08:02-DRB1*14:07  Poland DKMS 0.002420,653
 200  A*01:01-B*55:01-DRB1*14:07  Israel Morocco Jews 0.002236,718

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 101 to 200 (from 221) records   Pages: 1 2 3 of 3  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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